On the List-Decodability of Random Self-Orthogonal Codes
Lingfei Jin, Chaoping Xing, Xiande Zhang

TL;DR
This paper proves that random Euclidean self-orthogonal and symplectic dual-containing codes can achieve optimal list-decodability bounds, extending classical results to these specialized code classes and their quantum counterparts.
Contribution
It demonstrates that random Euclidean self-orthogonal and symplectic dual-containing codes achieve the same list-decodability bounds as general random codes, including quantum codes.
Findings
Self-orthogonal codes achieve the Gilbert-Varshamov bound in list decoding.
Symplectic dual-containing codes also reach the quantum Gilbert-Varshamov bound.
The counting argument is key to establishing these results.
Abstract
In 2011, Guruswami-H{\aa}stad-Kopparty \cite{Gru} showed that the list-decodability of random linear codes is as good as that of general random codes. In the present paper, we further strengthen the result by showing that the list-decodability of random {\it Euclidean self-orthogonal} codes is as good as that of general random codes as well, i.e., achieves the classical Gilbert-Varshamov bound. Specifically, we show that, for any fixed finite field , error fraction satisfying and small , with high probability a random Euclidean self-orthogonal code over of rate is -list-decodable. This generalizes the result of linear codes to Euclidean self-orthogonal codes. In addition, we extend the result to list decoding {\it symplectic dual-containing} codes by showing that…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Coding theory and cryptography · DNA and Biological Computing
